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Methods for interpreting and understanding deep neural networks

: Montavon, G.; Samek, W.; Müller, K.-R.

Volltext ()

Digital signal processing 73 (2018), S.1-15
ISSN: 1051-2004
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer HHI ()

This paper provides an entry point to the problem of interpreting a deep neural network model and explaining its predictions. It is based on a tutorial given at ICASSP 2017. As a tutorial paper, the set of methods covered here is not exhaustive, but sufficiently representative to discuss a number of questions in interpretability, technical challenges, and possible applications. The second part of the tutorial focuses on the recently proposed layer-wise relevance propagation (LRP) technique, for which we provide theory, recommendations, and tricks, to make most efficient use of it on real data.